Stefan Scherbaum
Impact in
- General Decision Sciences top 1%
- Decision-Making and Behavioral Economics
- Applied Psychology top 2%
- Behavioral Health and Interventions
Papers in
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- Neural and Behavioral Psychology Studies 37
- Neural dynamics and brain function 6
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- Decision-Making and Behavioral Economics 24
- Co-authors
- Maja Dshemuchadse (26 shared papers)Thomas Goschke (18 shared papers)Rico Fischer (4 shared papers)Martin Schoemann (13 shared papers)Pascal J. Kieslich (4 shared papers)Gerhard Bühringer (6 shared papers)Anja Kräplin (7 shared papers)Andre Pittig (4 shared papers)
In The Last Decade
Stefan Scherbaum
68 papers receiving 1.2k citations
Peers
Comparison fields: 5 of 87
- General Decision Sciences 259
- Applied Psychology 230
- Cognitive Neuroscience 672
- Experimental and Cognitive Psychology 331
- Social Psychology 254
Countries citing papers authored by Stefan Scherbaum
This map shows the geographic impact of Stefan Scherbaum's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Stefan Scherbaum with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Stefan Scherbaum more than expected).
Fields of papers citing papers by Stefan Scherbaum
This network shows the impact of papers produced by Stefan Scherbaum. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Stefan Scherbaum. The network helps show where Stefan Scherbaum may publish in the future.
Co-authors
The 25 scholars most cited alongside Stefan Scherbaum, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 76 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2010 | 105 | |
| 2 | 2012 | 100 | |
| 3 | 2010 | 75 | |
| 4 | 2014 | 65 | |
| 5 | 2015 | 49 | |
| 6 | 2017 | 45 | |
| 7 | 2020 | 43 | |
| 8 | 2020 | 42 | |
| 9 | 2019 | 42 | |
| 10 | 2019 | 37 | |
| 11 | 2015 | 35 | |
| 12 | 2020 | 35 | |
| 13 | 2012 | 32 | |
| 14 | 2016 | 30 | |
| 15 | 2019 | 30 | |
| 16 | 2017 | 27 | |
| 17 | 2013 | 24 | |
| 18 | 2012 | 23 | |
| 19 | 2019 | 23 | |
| 20 | 2016 | 21 |
About Stefan Scherbaum
Stefan Scherbaum is a scholar working on Cognitive Neuroscience, General Decision Sciences, Experimental and Cognitive Psychology, Social Psychology and Applied Psychology, having authored 76 papers that have together received 1.2k indexed citations. Recurring topics across this work include Neural and Behavioral Psychology Studies (37 papers), Decision-Making and Behavioral Economics (24 papers), Behavioral Health and Interventions (15 papers), Action Observation and Synchronization (11 papers), Experimental Behavioral Economics Studies (8 papers), Mental Health Research Topics (7 papers), Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes (7 papers) and Neural dynamics and brain function (6 papers). The work is most often cited by research in General Decision Sciences (259 citations), Applied Psychology (230 citations), Cognitive Neuroscience (672 citations), Experimental and Cognitive Psychology (331 citations) and Social Psychology (254 citations). Stefan Scherbaum has collaborated with scholars based in Germany, Denmark and Ireland. Frequent co-authors include Maja Dshemuchadse, Thomas Goschke, Rico Fischer, Martin Schoemann, Pascal J. Kieslich, Gerhard Bühringer, Anja Kräplin, Andre Pittig, Denis O’Hora and Daniel Leising. Their work appears in journals such as PLoS ONE, Frontiers in Psychology, Memory & Cognition, Quarterly Journal of Experimental Psychology and Acta Psychologica.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.